
San Francisco Bay Area
Neha Boloor
Machine Learning Engineer & Artist
I am a Machine Learning Engineer currently building Generative AI based solutions for validation and verification of autonomous driving vehicles at Zoox.

Machine Learning Engineer @ Zoox
Developing machine learning models to generate realistic and diverse synthetic scenarios for testing autonomous vehicles.
Research Engineer @ Matic Robots
Developed an autonomous exploration algorithm enabling fast and intelligent mapping of new homes.

Master's in Computer Vision @ Carnegie Mellon University
Focused on deep learning for computer vision, with research projects in 3D perception and smart city infrastructure.
JN Tata Scholar 2021

Senior Software Engineer @ Oracle
Designed and developed key marketing segmentation, data integration, and performance enhancement features for Oracle Marketing Cloud's SaaS products.

Research Intern @ IIT Madras
Worked on content-based image retrieval using deep learning at the Computer Vision Lab, under Prof. Anurag Mittal

Summer Analyst @ Goldman Sachs
Implemented an AI-based search tool for ticket resolution.

Bachelor's in Information Technology @ National Institute of Technology Karnataka
Awarded Best Outgoing Student and graduated with distinction.
Awards & Recognition
- 🏆 GOLD GLOBEE AWARDS WINNER - Women of the Year Technology category (2025)
- 🏆 GOLD TITAN INNOVATION AWARDS WINNER - Innovation in Technology - Best Artificial Intelligence Technology Innovation (2025)
- 🎤 Keynote Speaker - IEEE ICSCIS 2025, presenting "Vision Zero: Leveraging AI and Advanced Datasets for Safer, Smarter Roadways in Smart Cities"
- 📚 Workshop Paper Accepted - "Linear Memory SE(2) Invariant Attention" at RSS 2025 Workshop on Equivariant Systems: Theory and Applications in State Estimation, Artificial Intelligence and Control (Ethan Pronovost, Neha Boloor, Noureldin Hendy, Peter Schleede, Andres Morales, Nicholas Roy)
- 📊 Lead Author - USDOT-backed ROADWork Dataset (archived in ROSA P, TRID, and arXiv)
- 📝 Profiled by MSN - Featured in a MSN dedicated article highlighting my work and impact in AI.